HP HP Pavilion x360 2-in-1 Laptop 14-ek0xxx
Geekbench AI Score
1063
Single Precision Score
449
Half Precision Score
1830
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Mashael_12345 |
| Upload Date | April 10 2025 05:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion x360 2-in-1 Laptop 14-ek0xxx |
| Motherboard | HP 8A34 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
976
181.5 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
99% |
1962
365.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
1313
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1355
1.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
5936
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
86% |
1352
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
1866
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (Q)
|
97% |
2261
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2017
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
550
4.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
3457
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3636
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2509
3.22 IPS |
|
|
Style Transfer (Q)
|
98% |
5450
7.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
973
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
364
485.4 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.3 IPS |
|
|
Text Classification (Q)
|
97% |
377
505.7 IPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (Q)
|
65% |
1307
26.3 IPS |
